Francis X. Diebold, Glenn D. Rudebusch
arXiv 15 Jul 2019 · Statistics — Applications
arXiv:1907.06303 · PDF · DOI · OpenAlex · Extracted main text
Climate change is a massive multidimensional shift. Temperature shifts, in particular, have important implications for urbanization, agriculture, health, productivity, and poverty, among other things. While much research has documented rising mean temperature levels, we also examine range-based measures of daily temperature volatility. Specifically, using data for select U.S. cities over the past half-century, we compare the evolving time series dynamics of the average temperature level, AVG, and the diurnal temperature range, DTR (the difference between the daily maximum and minimum temperatures). We characterize trend and seasonality in these two series using linear models with time-varying coefficients. These straightforward yet flexible approximations provide evidence of evolving DTR seasonality and stable AVG seasonality.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Davy, Esau, Chernokulsky, Outten, and Zilitinkevich (2017) Diurnal Asymmetry to the Observed Global Warming, International Journal of Climatology\/, 37, 79–93 | 0.737 | 3 | 2 | 100% |
| 2 | Campbell and Diebold (2005) Weather Forecasting for Weather Derivatives, Journal of the American Statistical Association\/, 100, 6–16 | 0.511 | 2 | 1 | 100% |
| 3 | Alizadeh, Brandt, and Diebold (2002) Range-Based Estimation of Stochastic Volatility Models, Journal of Finance\/, 57, 1047–1092 self | 0.405 | 1 | 1 | 100% |
| 4 | Alexander and Perkins (2013) Debate Heating up Over Changes in Climate Variability, Environmental Research Letters\/, 8, 041001 | 0.405 | 1 | 1 | 100% |
| 5 | Andrews and Monahan (1992) An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator, Econometrica\/, 60, 953–966 | 0.405 | 1 | 1 | 100% |
| 6 | Braganza, Karoly, and Arblaster (2010) Diurnal Temperature Range as an Index of Global Climate Change During the Twentieth Century, Geophysical Research Letters\/, 31,… | 0.405 | 1 | 1 | 100% |
| 7 | Colacito, Hoffmann, and Phan (2019) Temperatures and Growth: A Panel Analysis of the United States, Journal of Money, Credit, and Banking\/, 51, 313–368 | 0.405 | 1 | 1 | 100% |
| 8 | Diebold and Rudebusch (2021) Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections, Journal of Econometrics\/, f… | 0.405 | 1 | 1 | 100% |
| 9 | Dai, Trenberth, and Karl (1999) Effects of Clouds, Soil Moisture, Precipitation, and Water Vapor on Diurnal Temperature Range, Journal of Climate\/, 12, 2451–2473 | 0.405 | 1 | 1 | 100% |
| 10 | Diebold and Inoue (2001) Long Memory and Regime Switching, Journal of Econometrics\/, 105, 131–159 | 0.405 | 1 | 1 | 100% |
Showing the top 10 of 35 scored citations.